In this class, we will learn about Filtering vs Convolution.
● Filters
We have learned Box, Gaussian, Sobel, Laplace filters.
Let's compare Filtering and Convolution.
There is a difference between filtering and convolution.
Filter flipped vertically and horizontally.
● Derivative Theorem of Convolution
① Commutative
- can move stuff around
② Associative
- can regroup things
③ Distributes over addition
- can take things through parenthesis
④ Scalars factor out
In next class, we will find out how to define boundaries.
'AI > Computer Vision Materials' 카테고리의 다른 글
5.1 Lines Parameterization (0) | 2020.08.05 |
---|---|
5.0 Defining Boundaries (0) | 2020.08.05 |
4.0 Image Gradients and Gradient Filtering (0) | 2020.08.04 |
3.1 Image Pyramid (0) | 2020.08.03 |
3.0 Image Subsampling (0) | 2020.08.03 |